Pushing minor fix to ai module replace data with config

docs/framework/ai-module.mdx

@@ -98,25 +98,25 @@ for chunk in conversation.stream_complete():
 ```
 </CodeGroup>
 
-Instance-wide configuration parameters can be complemented or overriden on individual call's level, if a `data` dictionary is provided to the method:
+Instance-wide configuration parameters can be complemented or overriden on individual call's level, if a `config` dictionary is provided to the method:
 
 ```python
 # Overriding configuration for a specific call
-response = conversation.complete(data={'max_tokens': 200, 'temperature': 0.5})
+response = conversation.complete(config={'max_tokens': 200, 'temperature': 0.5})
 ```
 
 ## Text completions without a conversation state
-These `complete` and `stream_complete` methods are designed for one-off text completions without the need to manage a conversation state. They return the model's response as a string. Each function accepts a `data` dictionary allowing call-specific configurations.
+These `complete` and `stream_complete` methods are designed for one-off text completions without the need to manage a conversation state. They return the model's response as a string. Each function accepts a `config` dictionary allowing call-specific configurations.
 
 <CodeGroup>
 ```python complete
 # Using `complete` for a single completion
-text_response = complete("Explore the benefits of AI.", data={'temperature': 0.3})
+text_response = complete("Explore the benefits of AI.", config={'temperature': 0.3})
 print("Completion:", text_response)
 ```
 ```python stream_complete
 # Using `stream_complete` for streamed text completions
-for text_chunk in stream_complete("Explore the benefits of AI.", data={'temperature': 0.3}):
+for text_chunk in stream_complete("Explore the benefits of AI.", config={'temperature': 0.3}):
     print("Streamed Text:", text_chunk)
 ```
 </CodeGroup>